Shakti LLM Series – Post 1: Why We Built Sovereign Language Models
After the grand launch of the Shakti LLM Series by Shri Priyank M Kharge, Hon’ble Minister for IT & BT,
Escape the Cloud Tax – Post 7: “What’s Next for EdgeMatrix: Beyond Text, Toward Real-Time Intelligence”
Over the last few posts, we’ve broken down why inference efficiency is non-negotiable when deploying GenAI at scale:📉 Lower token
Escape the Cloud Tax – Post 6: “The True Cost of Tokens – LLM Inference ROI Unmasked”
Running GenAI at scale?Here’s the truth no API provider advertises: Tokens are your new cloud tax.And if you're consuming millions
Escape the Cloud Tax – Post 5: “Serve Faster. Spend Smarter. Scale Better.”
As GenAI applications move from prototype to production, inference demands are exploding — across models, hardware, and environments. But most runtime
Escape the Cloud Tax – Post 4: “LLMs on CPUs, Raspberry Pi & Beyond – EdgeMatrix at the Edge”
Most people assume that to run LLMs well, you need an H100 or expensive cloud GPUs.We decided to challenge that
Escape the Cloud Tax – Post 3: “LLM Inference Showdown: EdgeMatrix vs the Rest”
LLMs aren’t just about parameter counts anymore.When deploying LLMs at scale, performance isn’t theoretical - it’s measured in tokens per
Escape the Cloud Tax – Post 2: “Cloud APIs vs Self-Hosting – Rethinking LLM Deployment at Scale”
Most teams begin their GenAI journey using cloud-based LLM APIs - and for good reason.- They're convenient- Pay-as-you-go feels cost-efficient-
Escape the Cloud Tax – Post 1: “Why We Built EdgeMatrix: One Runtime to Rule Inference”
The cloud made AI accessible.But it also made it expensive.And slow.And
EdgeMatrix: Scaling 70B Parameter Models for Enterprise AI
Scaling to 70B Models on Mid-Range Enterprise Hardware Using our EdgeMatrix framework, we recently completed benchmarking for the meta-llama/Llama-3.3-70B-Instruct model. The
Shakti 4B’s OCR Capabilities: A Comprehensive Evaluation
In the dynamic field of Optical Character Recognition (OCR), Mistral AI's recent introduction of Mistral OCR (Mistral OCR 2503) has